Lausanne, Vaud, Switzerland
- Discretionary FFA prop trading - Discretionary FFA physical hedging - Portfolio optimization/ multi-factor models - Machine learning/deep learning systematic trading models
-Perform Research on commodity markets, advise FFA and Physical Tanker Traders -Development of trading strategies/search of fundamental opportunities -Automated Vessel Tracking: Creation of a global flow monitoring & forecasting algorithms -Set up of long term macro models to forecast markets across different vessel sizes (clean/dirty) -Set up of short term regional fundamental dashboards to forecast shipping route prices
- Analysis of oil fundamentals for different regions - Development of quantitative analysis tools
Goals: • Perform and analyze nano-mechanical biosensor experiments for bacteria diagnosis. Achievements: • Nature Nanotechnology publication (Ranked in top three scientific journals). • Speaker at a scientific conference (Linz Winter Workshop 2013, 200 persons). • Realization of a set of experiments (by planning and defining methodology). • Improvement of the signal processing (MATLAB) and prototype design. • Investigation of different experimental unknowns to fully understand outcomes.
Goals: • Development of a robust Image processing algorithm in the context of Social TV. Achievements: • The collaborative study of use cases and architectures (from back end to end user). • The benchmark of different technologies followed by the successful development of an algorithm (MATLAB) using an optimal solution. • Creation of a Ipad working prototype to demonstrate an innovative application.